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datatomcp vs gitring

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

datatomcp compared with gitring
Detaildatatomcp logo datatomcpgitring logo gitring
What it doesCSV and Google Sheets MCP server and REST API for AI agents Source control for coding agents with conflicts settled before code exists
StageNot given Startup
FoundedNot given Not given
Based inNL Not given
Pricing modelNot given Not given
PricingFree: €0, 3 datasets, 100,000 rows per dataset, 1,000 queries per day, 2 people. Pro: €12/month or $12/month, 25 datasets, 2,000,000 rows per dataset, 50,000 queries per day, 5 people per workspace. Business: Custom pricing. Free: $0 for up to 3 projects and one person (never charges). Builder: $15 a month or $150 a year. Team: $36 per person a month or $360 per person a year. New accounts start on Team for 14 days free with up to 5 projects.
Key features
  • Automatic dataset linking by shared IDs and codes
  • Supports MCP protocol for Claude, ChatGPT, and Cursor
  • REST API for apps and automations
  • Automatic version tracking on data changes
  • Team collaboration with role-based access
  • Messy file import with validation reports
  • EU data hosting with no AI provider access
  • Activity logs showing data changes and queries
  • Agents declare plans before writing code
  • Written rules automatically settle conflicting plans
  • Integration with Claude Code, Codex, and MCP clients
  • GitHub repository mirroring after each merge
  • Intent-based workflow instead of pull requests
  • Drift detection comparing code changes to declared plans
  • No branch names; work identified by intent number
  • Write rules per folder with CI files people-only
What makes it different
  • Query results use 475 times fewer tokens than pasting entire sheets
  • Exact totals computed by database instead of estimated by AI
  • Read-only by design prevents agents from modifying data
  • Hosted in EU with automatic backups and 14-day retention
  • One MCP URL works across multiple AI agent platforms
  • Conflicts settled before any code is written
  • Agents review intent goals and plans, not line-by-line diffs
  • Works with your existing agents without leaving GitHub
  • Only humans approve merges, never agents or models
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)3 no change since last check12 +2 (up) since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)230
Referring domains (Majestic)120

4 details filled in for both companies.

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